Triple
T16698985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wall Street |
E405791
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Darien Taylor |
E1049906
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Darien Taylor | Statement: [Wall Street, character, Darien Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darien Taylor Context triple: [Wall Street, character, Darien Taylor]
-
A.
Darien Taylor
chosen
Darien Taylor is a fictional character from the film "Wall Street," portrayed as an ambitious interior designer romantically involved with stockbroker Bud Fox.
-
B.
Cynthia Taylor
Cynthia Taylor is a fictional character from the television series "Mozart in the Jungle," portrayed as a seasoned oboist navigating the personal and professional challenges of life in a New York symphony orchestra.
-
C.
Cheryl Duffield
Cheryl Duffield is known as the wife of American billionaire software entrepreneur and philanthropist David Duffield.
-
D.
Sherry Jackson
Sherry Jackson is an American actress best known for her work as a child and young adult performer in 1950s and 1960s film and television.
-
E.
Darcy Scott
Darcy Scott is a lively, music-obsessed protagonist whose passion for dancing shapes much of her personality and story.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51378788190b9f3bb0a344dcdd8 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:19 a.m.